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Python library for creating customizable BPPTKG Monitoring API chart

Project description


KomaPy is Python library for creating customizable BPPTKG Monitoring API chart.

Use Cases

KomaPy is suitable for the following applications:

  • Building automated static chart figures
  • Embedding into a web application for generating predefined chart configurations
  • Quick data analysis and visualization
  • Data correlation and processing
  • Generating high quality chart for publications
  • Many more


Install the latest version from PyPI by typing this command:

pip install -U komapy

Quick Start

Here it is a quick start example:

from komapy import Chart
from komapy.client import set_api_key


chart = Chart({
    'title': 'RB2',
    'theme': 'seaborn',
    'layout': {
        'data': [
                'series': {
                    'name': 'edm',
                    'query_params': {
                        'benchmark': 'BAB0',
                        'reflector': 'RB2',
                        'start_at': '2019-04-01',
                        'end_at': '2019-08-01',
                        'ci': True
                    'fields': ['timestamp', 'slope_distance'],
                    'xaxis_date': True



Full documentation and tutorials are available at docs/ directory. You can build the documentation by running these commands:

cd /path/to/komapy/
pip install -r requirements.txt
sphinx-build -b html docs/ /path/to/build/

You can also view online version at the following link.


See to learn how to contribute to this project.


This project is maintained by Indra Rudianto. If you have any question about this project, you can contact him at


By contributing to the project, you agree that your contributions will be licensed under its MIT license. See LICENSE for details.

Project details

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